2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (linux-x86_64:(lower-bound)) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f874a4ef cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-b52341ba23877e94ae09b5dde4872bfa" 2025-03-21 12:35.26: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:37.41: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-21 12:38.16 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 12:38.16 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 12:40.07 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-21 12:40.08 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:40.09 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 12:41.47 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:41.47 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 12:41.53 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:41.54 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" /src: (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB] - Fetched 353 kB in 1s (544 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-03-21 12:42.36 ---> saved as "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.15.0 - install backoff 0.1.0 - install base v0.17.0 - install bigarray-compat 1.1.0 - install bigstringaf 0.5.0 - install conf-libffi 2.0.0 - install conf-pkg-config 1.0 - install cppo 1.6.7 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.14.0 - install dune-configurator 2.7.0 - install fieldslib v0.17.0 - install integers 0.6.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.0.0 - install multicore-magic 2.3.0 - install num 1.0 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.0 - install ocamlbuild 0.14.3 - install ocamlfind 1.9.6 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 5.2 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.0 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.32.1 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 0.8.6 - install re 1.9.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq 0.3 - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.1.0 - install time_now v0.17.0 - install topkg 1.0.6 - install tyxml 4.4.0 - install uucp 13.0.0 - install uutf 1.0.3 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.15.0 (cached) -> retrieved base.v0.17.0 (cached) -> retrieved bigstringaf.0.5.0 (cached) -> retrieved cppo.1.6.7 (cached) -> installed conf-pkg-config.1.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.6.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.0.0 (cached) -> retrieved multicore-magic.2.3.0 (cached) -> retrieved num.1.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.0 (cached) -> retrieved ocamlbuild.0.14.3 (cached) -> retrieved dune-configurator.2.7.0 (cached) -> retrieved dune.3.14.0 (cached) -> retrieved ocamlfind.1.9.6 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.0 (cached) -> retrieved ppx_deriving.5.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.0.8.6 (cached) -> retrieved re.1.9.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.0.3 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.1.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.6 (cached) -> retrieved ppxlib.0.32.1 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.4.0 (cached) -> retrieved uutf.1.0.3 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.13.0.0 (cached) -> installed ocamlfind.1.9.6 -> installed num.1.0 -> installed ocamlbuild.0.14.3 -> installed topkg.1.0.6 -> installed uutf.1.0.3 -> installed mtime.2.0.0 -> installed ptime.0.8.6 -> installed dune.3.14.0 -> installed backoff.0.1.0 -> installed bigarray-compat.1.1.0 -> installed bigstringaf.0.5.0 -> installed ppx_derivers.1.2.1 -> installed jane-street-headers.v0.17.0 -> installed seq.0.3 -> installed printbox.0.12 -> installed result.1.5 -> installed stdlib-shims.0.1.0 -> installed multicore-magic.2.3.0 -> installed ocaml_intrinsics_kernel.v0.17.0 -> installed sexplib0.v0.17.0 -> installed cppo.1.6.7 -> installed integers.0.6.0 -> installed ocaml-syntax-shims.1.0.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.2.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.9.0 -> installed angstrom.0.15.0 -> installed parsexp.v0.17.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.4.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.13.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.32.1 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.5.2 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.0 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 12:46.11 ---> saved as "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b" /src: (copy (src .) (dst /src)) 2025-03-21 12:46.11 ---> saved as "c84c795fddd0a7ad2758ed18c4977c8edd31ae5759e410da6d7e3ea43b8f9c76" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bd2d5ff6c910f4c067d6e288fbaed4e5/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9dc69347fe77f62fefe93f4f2567d67b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198000, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.688921, epoch loss=40.531062 Batch=599, step=600, lr=0.197750, batch loss=1.065197, epoch loss=41.596259 Batch=659, step=660, lr=0.197500, batch loss=0.483188, epoch loss=42.079447 Batch=719, step=720, lr=0.197250, batch loss=0.411290, epoch loss=42.490737 Batch=779, step=780, lr=0.196750, batch loss=0.468685, epoch loss=42.959422 Batch=839, step=840, lr=0.196750, batch loss=0.443318, epoch loss=43.402740 Batch=899, step=900, lr=0.196500, batch loss=0.383495, epoch loss=43.786235 Batch=959, step=960, lr=0.196000, batch loss=0.243114, epoch loss=44.029349 Batch=1019, step=1020, lr=0.196000, batch loss=0.454290, epoch loss=44.483639 Batch=1079, step=1080, lr=0.195500, batch loss=0.254621, epoch loss=44.738260 Batch=1139, step=1140, lr=0.195250, batch loss=0.335397, epoch loss=45.073657 Batch=1199, step=1200, lr=0.195000, batch loss=0.262329, epoch loss=45.335986 Epoch=0, step=1200, lr=0.195000, epoch loss=45.335986 Batch=59, step=1260, lr=0.194750, batch loss=0.261169, epoch loss=0.261169 Batch=119, step=1320, lr=0.194500, batch loss=0.206642, epoch loss=0.467811 Batch=179, step=1380, lr=0.194500, batch loss=0.246789, epoch loss=0.714600 Batch=239, step=1440, lr=0.194000, batch loss=0.352049, epoch loss=1.066649 Batch=299, step=1500, lr=0.193750, batch loss=0.235710, epoch loss=1.302359 Batch=359, step=1560, lr=0.193500, batch loss=0.312465, epoch loss=1.614824 Batch=419, step=1620, lr=0.193500, batch loss=0.308945, epoch loss=1.923769 Batch=479, step=1680, lr=0.193000, batch loss=0.273550, epoch loss=2.197319 Batch=539, step=1740, lr=0.193000, batch loss=0.210791, epoch loss=2.408110 Batch=599, step=1800, lr=0.192500, batch loss=0.250704, epoch loss=2.658814 Batch=659, step=1860, lr=0.192500, batch loss=0.369342, epoch loss=3.028156 Batch=719, step=1920, lr=0.192000, batch loss=0.365713, epoch loss=3.393869 Batch=779, step=1980, lr=0.191750, batch loss=0.383723, epoch loss=3.777592 Batch=839, step=2040, lr=0.191500, batch loss=0.341938, epoch loss=4.119531 Batch=899, step=2100, lr=0.191250, batch loss=0.302413, epoch loss=4.421944 Batch=959, step=2160, lr=0.191000, batch loss=0.225254, epoch loss=4.647198 Batch=1019, step=2220, lr=0.191000, batch loss=0.321485, epoch loss=4.968683 Batch=1079, step=2280, lr=0.190500, batch loss=0.188268, epoch loss=5.156952 Batch=1139, step=2340, lr=0.190250, batch loss=0.251580, epoch loss=5.408532 Batch=1199, step=2400, lr=0.190000, batch loss=0.211231, epoch loss=5.619763 Epoch=1, step=2400, lr=0.190000, epoch loss=5.619763 Batch=59, step=2460, lr=0.189750, batch loss=0.226253, epoch loss=0.226253 Batch=119, step=2520, lr=0.189500, batch loss=0.192290, epoch loss=0.418543 Batch=179, step=2580, lr=0.189500, batch loss=0.218518, epoch loss=0.637061 Batch=239, step=2640, lr=0.189000, batch loss=0.326558, epoch loss=0.963619 Batch=299, step=2700, lr=0.188750, batch loss=0.222001, epoch loss=1.185620 Batch=359, step=2760, lr=0.188500, batch loss=0.297833, epoch loss=1.483453 Batch=419, step=2820, lr=0.188250, batch loss=0.290147, epoch loss=1.773600 Batch=479, step=2880, lr=0.188000, batch loss=0.268465, epoch loss=2.042065 Batch=539, step=2940, lr=0.187750, batch loss=0.205765, epoch loss=2.247830 Batch=599, step=3000, lr=0.187500, batch loss=0.249074, epoch loss=2.496904 Batch=659, step=3060, lr=0.187250, batch loss=0.347553, epoch loss=2.844456 Batch=719, step=3120, lr=0.187250, batch loss=0.348864, epoch loss=3.193320 Batch=779, step=3180, lr=0.186750, batch loss=0.363964, epoch loss=3.557284 Batch=839, step=3240, lr=0.186500, batch loss=0.324713, epoch loss=3.881998 Batch=899, step=3300, lr=0.186250, batch loss=0.295755, epoch loss=4.177753 Batch=959, step=3360, lr=0.186000, batch loss=0.231271, epoch loss=4.409024 Batch=1019, step=3420, lr=0.185750, batch loss=0.340729, epoch loss=4.749753 Batch=1079, step=3480, lr=0.185500, batch loss=0.193916, epoch loss=4.943669 Batch=1139, step=3540, lr=0.185250, batch loss=0.252632, epoch loss=5.196301 Batch=1199, step=3600, lr=0.185000, batch loss=0.199606, epoch loss=5.395907 Epoch=2, step=3600, lr=0.185000, epoch loss=5.395907 Batch=59, step=3660, lr=0.185000, batch loss=0.227960, epoch loss=0.227960 Batch=119, step=3720, lr=0.184750, batch loss=0.196400, epoch loss=0.424359 Batch=179, step=3780, lr=0.184500, batch loss=0.213160, epoch loss=0.637519 Batch=239, step=3840, lr=0.184000, batch loss=0.317914, epoch loss=0.955433 Batch=299, step=3900, lr=0.184000, batch loss=0.209280, epoch loss=1.164713 Batch=359, step=3960, lr=0.183750, batch loss=0.285430, epoch loss=1.450143 Batch=419, step=4020, lr=0.183500, batch loss=0.276372, epoch loss=1.726516 Batch=479, step=4080, lr=0.183250, batch loss=0.258291, epoch loss=1.984807 Batch=539, step=4140, lr=0.183000, batch loss=0.197431, epoch loss=2.182237 Batch=599, step=4200, lr=0.182750, batch loss=0.237222, epoch loss=2.419459 Batch=659, step=4260, lr=0.182250, batch loss=0.331273, epoch loss=2.750732 Batch=719, step=4320, lr=0.182250, batch loss=0.342149, epoch loss=3.092881 Batch=779, step=4380, lr=0.182000, batch loss=0.350097, epoch loss=3.442978 Batch=839, step=4440, lr=0.181750, batch loss=0.316504, epoch loss=3.759482 Batch=899, step=4500, lr=0.181250, batch loss=0.286341, epoch loss=4.045824 Batch=959, step=4560, lr=0.181000, batch loss=0.251615, epoch loss=4.297439 Batch=1019, step=4620, lr=0.181000, batch loss=0.365308, epoch loss=4.662747 Batch=1079, step=4680, lr=0.180500, batch loss=0.203798, epoch loss=4.866544 Batch=1139, step=4740, lr=0.180500, batch loss=0.250452, epoch loss=5.116996 Batch=1199, step=4800, lr=0.180250, batch loss=0.192021, epoch loss=5.309017 Epoch=3, step=4800, lr=0.180250, epoch loss=5.309017 Batch=59, step=4860, lr=0.180000, batch loss=0.226902, epoch loss=0.226902 Batch=119, step=4920, lr=0.179750, batch loss=0.190539, epoch loss=0.417441 Batch=179, step=4980, lr=0.179500, batch loss=0.206373, epoch loss=0.623815 Batch=239, step=5040, lr=0.179000, batch loss=0.307406, epoch loss=0.931221 Batch=299, step=5100, lr=0.178750, batch loss=0.199859, epoch loss=1.131080 Batch=359, step=5160, lr=0.178500, batch loss=0.272956, epoch loss=1.404036 Batch=419, step=5220, lr=0.178250, batch loss=0.264459, epoch loss=1.668495 Batch=479, step=5280, lr=0.178000, batch loss=0.239808, epoch loss=1.908303 Batch=539, step=5340, lr=0.177750, batch loss=0.189870, epoch loss=2.098173 Batch=599, step=5400, lr=0.177500, batch loss=0.231079, epoch loss=2.329253 Batch=659, step=5460, lr=0.177250, batch loss=0.323457, epoch loss=2.652710 Batch=719, step=5520, lr=0.177000, batch loss=0.325455, epoch loss=2.978165 Batch=779, step=5580, lr=0.176750, batch loss=0.338460, epoch loss=3.316625 Batch=839, step=5640, lr=0.176750, batch loss=0.313965, epoch loss=3.630589 Batch=899, step=5700, lr=0.176500, batch loss=0.278212, epoch loss=3.908801 Batch=959, step=5760, lr=0.176000, batch loss=0.218881, epoch loss=4.127682 Batch=1019, step=5820, lr=0.175750, batch loss=0.333212, epoch loss=4.460894 Batch=1079, step=5880, lr=0.175500, batch loss=0.197901, epoch loss=4.658794 Batch=1139, step=5940, lr=0.175250, batch loss=0.231973, epoch loss=4.890767 Batch=1199, step=6000, lr=0.175000, batch loss=0.185102, epoch loss=5.075869 Epoch=4, step=6000, lr=0.175000, epoch loss=5.075869 Batch=59, step=6060, lr=0.174750, batch loss=0.222550, epoch loss=0.222550 Batch=119, step=6120, lr=0.174500, batch loss=0.187004, epoch loss=0.409554 Batch=179, step=6180, lr=0.174250, batch loss=0.202018, epoch loss=0.611572 Batch=239, step=6240, lr=0.174000, batch loss=0.299980, epoch loss=0.911553 Batch=299, step=6300, lr=0.173750, batch loss=0.207127, epoch loss=1.118680 Batch=359, step=6360, lr=0.173500, batch loss=0.263914, epoch loss=1.382593 Batch=419, step=6420, lr=0.173250, batch loss=0.259250, epoch loss=1.641843 Batch=479, step=6480, lr=0.173000, batch loss=0.234917, epoch loss=1.876760 Batch=539, step=6540, lr=0.173000, batch loss=0.189655, epoch loss=2.066415 Batch=599, step=6600, lr=0.172500, batch loss=0.224147, epoch loss=2.290562 Batch=659, step=6660, lr=0.172500, batch loss=0.315426, epoch loss=2.605988 Batch=719, step=6720, lr=0.172000, batch loss=0.315302, epoch loss=2.921290 Batch=779, step=6780, lr=0.171750, batch loss=0.332990, epoch loss=3.254280 Batch=839, step=6840, lr=0.171500, batch loss=0.304891, epoch loss=3.559171 Batch=899, step=6900, lr=0.171500, batch loss=0.265758, epoch loss=3.824929 Batch=959, step=6960, lr=0.171250, batch loss=0.210398, epoch loss=4.035328 Batch=1019, step=7020, lr=0.171000, batch loss=0.326770, epoch loss=4.362098 Batch=1079, step=7080, lr=0.170750, batch loss=0.184710, epoch loss=4.546808 Batch=1139, step=7140, lr=0.170500, batch loss=0.215623, epoch loss=4.762431 Batch=1199, step=7200, lr=0.170250, batch loss=0.181535, epoch loss=4.943966 Epoch=5, step=7200, lr=0.170250, epoch loss=4.943966 Batch=59, step=7260, lr=0.170000, batch loss=0.228405, epoch loss=0.228405 Batch=119, step=7320, lr=0.169500, batch loss=0.187592, epoch loss=0.415997 Batch=179, step=7380, lr=0.169250, batch loss=0.194754, epoch loss=0.610751 Batch=239, step=7440, lr=0.169250, batch loss=0.288976, epoch loss=0.899728 Batch=299, step=7500, lr=0.169000, batch loss=0.193639, epoch loss=1.093367 Batch=359, step=7560, lr=0.168500, batch loss=0.258138, epoch loss=1.351504 Batch=419, step=7620, lr=0.168250, batch loss=0.257250, epoch loss=1.608754 Batch=479, step=7680, lr=0.168250, batch loss=0.235912, epoch loss=1.844667 Batch=539, step=7740, lr=0.168000, batch loss=0.189280, epoch loss=2.033947 Batch=599, step=7800, lr=0.167500, batch loss=0.223742, epoch loss=2.257689 Batch=659, step=7860, lr=0.167250, batch loss=0.305645, epoch loss=2.563335 Batch=719, step=7920, lr=0.167250, batch loss=0.308933, epoch loss=2.872268 Batch=779, step=7980, lr=0.167000, batch loss=0.325726, epoch loss=3.197994 Batch=839, step=8040, lr=0.166750, batch loss=0.292779, epoch loss=3.490772 Batch=899, step=8100, lr=0.166500, batch loss=0.261159, epoch loss=3.751931 Batch=959, step=8160, lr=0.166250, batch loss=0.202695, epoch loss=3.954626 Batch=1019, step=8220, lr=0.166000, batch loss=0.327991, epoch loss=4.282617 Batch=1079, step=8280, lr=0.165750, batch loss=0.193028, epoch loss=4.475645 Batch=1139, step=8340, lr=0.165500, batch loss=0.222544, epoch loss=4.698189 Batch=1199, step=8400, lr=0.165250, batch loss=0.173949, epoch loss=4.872138 Epoch=6, step=8400, lr=0.165250, epoch loss=4.872138 Batch=59, step=8460, lr=0.165000, batch loss=0.218339, epoch loss=0.218339 Batch=119, step=8520, lr=0.164500, batch loss=0.181197, epoch loss=0.399535 Batch=179, step=8580, lr=0.164500, batch loss=0.189257, epoch loss=0.588792 Batch=239, step=8640, lr=0.164000, batch loss=0.276621, epoch loss=0.865414 Batch=299, step=8700, lr=0.164000, batch loss=0.187274, epoch loss=1.052688 Batch=359, step=8760, lr=0.163500, batch loss=0.249209, epoch loss=1.301897 Batch=419, step=8820, lr=0.163250, batch loss=0.243869, epoch loss=1.545765 Batch=479, step=8880, lr=0.163250, batch loss=0.229755, epoch loss=1.775521 Batch=539, step=8940, lr=0.163000, batch loss=0.176274, epoch loss=1.951795 Batch=599, step=9000, lr=0.162750, batch loss=0.219046, epoch loss=2.170841 Batch=659, step=9060, lr=0.162500, batch loss=0.294123, epoch loss=2.464964 Batch=719, step=9120, lr=0.162250, batch loss=0.297930, epoch loss=2.762894 Batch=779, step=9180, lr=0.162000, batch loss=0.314737, epoch loss=3.077632 Batch=839, step=9240, lr=0.161750, batch loss=0.282198, epoch loss=3.359830 Batch=899, step=9300, lr=0.161500, batch loss=0.252509, epoch loss=3.612339 Batch=959, step=9360, lr=0.161250, batch loss=0.187764, epoch loss=3.800103 Batch=1019, step=9420, lr=0.161000, batch loss=0.302353, epoch loss=4.102456 Batch=1079, step=9480, lr=0.160750, batch loss=0.169595, epoch loss=4.272051 Batch=1139, step=9540, lr=0.160250, batch loss=0.202396, epoch loss=4.474447 Batch=1199, step=9600, lr=0.160000, batch loss=0.164948, epoch loss=4.639395 Epoch=7, step=9600, lr=0.160000, epoch loss=4.639395 Batch=59, step=9660, lr=0.159750, batch loss=0.192928, epoch loss=0.192928 Batch=119, step=9720, lr=0.159500, batch loss=0.161536, epoch loss=0.354464 Batch=179, step=9780, lr=0.159500, batch loss=0.178555, epoch loss=0.533019 Batch=239, step=9840, lr=0.159250, batch loss=0.262504, epoch loss=0.795523 Batch=299, step=9900, lr=0.159000, batch loss=0.184185, epoch loss=0.979708 Batch=359, step=9960, lr=0.158750, batch loss=0.241883, epoch loss=1.221590 Batch=419, step=10020, lr=0.158500, batch loss=0.230259, epoch loss=1.451849 Batch=479, step=10080, lr=0.158250, batch loss=0.216296, epoch loss=1.668145 Batch=539, step=10140, lr=0.158000, batch loss=0.168376, epoch loss=1.836521 Batch=599, step=10200, lr=0.157750, batch loss=0.204860, epoch loss=2.041381 Batch=659, step=10260, lr=0.157500, batch loss=0.279815, epoch loss=2.321196 Batch=719, step=10320, lr=0.157250, batch loss=0.278623, epoch loss=2.599818 Batch=779, step=10380, lr=0.157000, batch loss=0.296140, epoch loss=2.895958 Batch=839, step=10440, lr=0.156750, batch loss=0.272179, epoch loss=3.168137 Batch=899, step=10500, lr=0.156500, batch loss=0.236968, epoch loss=3.405105 Batch=959, step=10560, lr=0.156250, batch loss=0.177683, epoch loss=3.582788 Batch=1019, step=10620, lr=0.156000, batch loss=0.298810, epoch loss=3.881598 Batch=1079, step=10680, lr=0.155750, batch loss=0.176652, epoch loss=4.058250 Batch=1139, step=10740, lr=0.155500, batch loss=0.201121, epoch loss=4.259371 Batch=1199, step=10800, lr=0.155250, batch loss=0.156480, epoch loss=4.415851 Epoch=8, step=10800, lr=0.155250, epoch loss=4.415851 Batch=59, step=10860, lr=0.155000, batch loss=0.178947, epoch loss=0.178947 Batch=119, step=10920, lr=0.154750, batch loss=0.151504, epoch loss=0.330451 Batch=179, step=10980, lr=0.154500, batch loss=0.167256, epoch loss=0.497707 Batch=239, step=11040, lr=0.154250, batch loss=0.251272, epoch loss=0.748979 Batch=299, step=11100, lr=0.154000, batch loss=0.163037, epoch loss=0.912017 Batch=359, step=11160, lr=0.153750, batch loss=0.226157, epoch loss=1.138174 Batch=419, step=11220, lr=0.153500, batch loss=0.227391, epoch loss=1.365565 Batch=479, step=11280, lr=0.153250, batch loss=0.204394, epoch loss=1.569959 Batch=539, step=11340, lr=0.153000, batch loss=0.158800, epoch loss=1.728759 Batch=599, step=11400, lr=0.152750, batch loss=0.186288, epoch loss=1.915047 Batch=659, step=11460, lr=0.152500, batch loss=0.260321, epoch loss=2.175369 Batch=719, step=11520, lr=0.152250, batch loss=0.256874, epoch loss=2.432243 Batch=779, step=11580, lr=0.152000, batch loss=0.267999, epoch loss=2.700242 Batch=839, step=11640, lr=0.151500, batch loss=0.251405, epoch loss=2.951647 Batch=899, step=11700, lr=0.151500, batch loss=0.216335, epoch loss=3.167982 Batch=959, step=11760, lr=0.151250, batch loss=0.163276, epoch loss=3.331257 Batch=1019, step=11820, lr=0.151000, batch loss=0.272258, epoch loss=3.603516 Batch=1079, step=11880, lr=0.150750, batch loss=0.150380, epoch loss=3.753895 Batch=1139, step=11940, lr=0.150500, batch loss=0.186619, epoch loss=3.940514 Batch=1199, step=12000, lr=0.150250, batch loss=0.139590, epoch loss=4.080104 Epoch=9, step=12000, lr=0.150250, epoch loss=4.080104 Batch=59, step=12060, lr=0.150000, batch loss=0.157910, epoch loss=0.157910 Batch=119, step=12120, lr=0.149500, batch loss=0.127131, epoch loss=0.285040 Batch=179, step=12180, lr=0.149250, batch loss=0.151603, epoch loss=0.436643 Batch=239, step=12240, lr=0.149000, batch loss=0.219406, epoch loss=0.656050 Batch=299, step=12300, lr=0.148750, batch loss=0.138967, epoch loss=0.795016 Batch=359, step=12360, lr=0.148500, batch loss=0.188658, epoch loss=0.983674 Batch=419, step=12420, lr=0.148250, batch loss=0.182580, epoch loss=1.166253 Batch=479, step=12480, lr=0.148000, batch loss=0.163799, epoch loss=1.330053 Batch=539, step=12540, lr=0.147750, batch loss=0.136901, epoch loss=1.466953 Batch=599, step=12600, lr=0.147500, batch loss=0.157193, epoch loss=1.624147 Batch=659, step=12660, lr=0.147500, batch loss=0.239619, epoch loss=1.863765 Batch=719, step=12720, lr=0.147000, batch loss=0.228347, epoch loss=2.092113 Batch=779, step=12780, lr=0.147000, batch loss=0.249740, epoch loss=2.341853 Batch=839, step=12840, lr=0.146750, batch loss=0.224072, epoch loss=2.565924 Batch=899, step=12900, lr=0.146500, batch loss=0.190162, epoch loss=2.756087 Batch=959, step=12960, lr=0.146250, batch loss=0.165151, epoch loss=2.921237 Batch=1019, step=13020, lr=0.146000, batch loss=0.271074, epoch loss=3.192311 Batch=1079, step=13080, lr=0.145750, batch loss=0.114282, epoch loss=3.306593 Batch=1139, step=13140, lr=0.145250, batch loss=0.150244, epoch loss=3.456837 Batch=1199, step=13200, lr=0.145250, batch loss=0.116681, epoch loss=3.573518 Epoch=10, step=13200, lr=0.145250, epoch loss=3.573518 Batch=59, step=13260, lr=0.145000, batch loss=0.137619, epoch loss=0.137619 Batch=119, step=13320, lr=0.144750, batch loss=0.116910, epoch loss=0.254529 Batch=179, step=13380, lr=0.144500, batch loss=0.127675, epoch loss=0.382204 Batch=239, step=13440, lr=0.144250, batch loss=0.186466, epoch loss=0.568670 Batch=299, step=13500, lr=0.144000, batch loss=0.114630, epoch loss=0.683300 Batch=359, step=13560, lr=0.143750, batch loss=0.159998, epoch loss=0.843297 Batch=419, step=13620, lr=0.143250, batch loss=0.159343, epoch loss=1.002640 Batch=479, step=13680, lr=0.143000, batch loss=0.148790, epoch loss=1.151430 Batch=539, step=13740, lr=0.142750, batch loss=0.116387, epoch loss=1.267817 Batch=599, step=13800, lr=0.142500, batch loss=0.120771, epoch loss=1.388588 Batch=659, step=13860, lr=0.142250, batch loss=0.179286, epoch loss=1.567874 Batch=719, step=13920, lr=0.142000, batch loss=0.195410, epoch loss=1.763284 Batch=779, step=13980, lr=0.141750, batch loss=0.234167, epoch loss=1.997451 Batch=839, step=14040, lr=0.141500, batch loss=0.201646, epoch loss=2.199097 Batch=899, step=14100, lr=0.141250, batch loss=0.215362, epoch loss=2.414459 Batch=959, step=14160, lr=0.141250, batch loss=0.103528, epoch loss=2.517987 Batch=1019, step=14220, lr=0.141000, batch loss=0.196463, epoch loss=2.714450 Batch=1079, step=14280, lr=0.140750, batch loss=0.077814, epoch loss=2.792264 Batch=1139, step=14340, lr=0.140500, batch loss=0.122416, epoch loss=2.914680 Batch=1199, step=14400, lr=0.140250, batch loss=0.085831, epoch loss=3.000511 Epoch=11, step=14400, lr=0.140250, epoch loss=3.000511 Batch=59, step=14460, lr=0.139750, batch loss=0.108015, epoch loss=0.108015 Batch=119, step=14520, lr=0.139750, batch loss=0.104256, epoch loss=0.212271 Batch=179, step=14580, lr=0.139500, batch loss=0.100933, epoch loss=0.313204 Batch=239, step=14640, lr=0.139250, batch loss=0.141232, epoch loss=0.454436 Batch=299, step=14700, lr=0.139000, batch loss=0.076621, epoch loss=0.531057 Batch=359, step=14760, lr=0.138750, batch loss=0.121290, epoch loss=0.652347 Batch=419, step=14820, lr=0.138500, batch loss=0.130199, epoch loss=0.782545 Batch=479, step=14880, lr=0.138250, batch loss=0.103069, epoch loss=0.885615 Batch=539, step=14940, lr=0.138000, batch loss=0.109014, epoch loss=0.994629 Batch=599, step=15000, lr=0.137750, batch loss=0.083569, epoch loss=1.078197 Batch=659, step=15060, lr=0.137500, batch loss=0.127684, epoch loss=1.205881 Batch=719, step=15120, lr=0.137250, batch loss=0.121608, epoch loss=1.327489 Batch=779, step=15180, lr=0.137000, batch loss=0.126463, epoch loss=1.453952 Batch=839, step=15240, lr=0.136750, batch loss=0.144786, epoch loss=1.598738 Batch=899, step=15300, lr=0.136500, batch loss=0.168546, epoch loss=1.767284 Batch=959, step=15360, lr=0.136250, batch loss=0.097785, epoch loss=1.865069 Batch=1019, step=15420, lr=0.136000, batch loss=0.218305, epoch loss=2.083374 Batch=1079, step=15480, lr=0.135750, batch loss=0.040291, epoch loss=2.123665 Batch=1139, step=15540, lr=0.135250, batch loss=0.097611, epoch loss=2.221276 Batch=1199, step=15600, lr=0.135250, batch loss=0.056012, epoch loss=2.277288 Epoch=12, step=15600, lr=0.135250, epoch loss=2.277288 Batch=59, step=15660, lr=0.135000, batch loss=0.082860, epoch loss=0.082860 Batch=119, step=15720, lr=0.134750, batch loss=0.135673, epoch loss=0.218533 Batch=179, step=15780, lr=0.134500, batch loss=0.096623, epoch loss=0.315156 Batch=239, step=15840, lr=0.134250, batch loss=0.094729, epoch loss=0.409885 Batch=299, step=15900, lr=0.134000, batch loss=0.043348, epoch loss=0.453233 Batch=359, step=15960, lr=0.133750, batch loss=0.078153, epoch loss=0.531386 Batch=419, step=16020, lr=0.133500, batch loss=0.080526, epoch loss=0.611912 Batch=479, step=16080, lr=0.133250, batch loss=0.071019, epoch loss=0.682931 Batch=539, step=16140, lr=0.133000, batch loss=0.058480, epoch loss=0.741411 Batch=599, step=16200, lr=0.132750, batch loss=0.124176, epoch loss=0.865587 Batch=659, step=16260, lr=0.132500, batch loss=0.083288, epoch loss=0.948875 Batch=719, step=16320, lr=0.132000, batch loss=0.146022, epoch loss=1.094897 Batch=779, step=16380, lr=0.131750, batch loss=0.432107, epoch loss=1.527004 Batch=839, step=16440, lr=0.131500, batch loss=0.111608, epoch loss=1.638613 Batch=899, step=16500, lr=0.131250, batch loss=0.090566, epoch loss=1.729178 Batch=959, step=16560, lr=0.131000, batch loss=0.034344, epoch loss=1.763522 Batch=1019, step=16620, lr=0.130750, batch loss=0.061890, epoch loss=1.825412 Batch=1079, step=16680, lr=0.130500, batch loss=0.046579, epoch loss=1.871991 Batch=1139, step=16740, lr=0.130250, batch loss=0.074008, epoch loss=1.945999 Batch=1199, step=16800, lr=0.130000, batch loss=0.035771, epoch loss=1.981770 Epoch=13, step=16800, lr=0.130000, epoch loss=1.981770 Batch=59, step=16860, lr=0.129750, batch loss=0.037332, epoch loss=0.037332 Batch=119, step=16920, lr=0.129500, batch loss=0.039247, epoch loss=0.076579 Batch=179, step=16980, lr=0.129250, batch loss=0.045458, epoch loss=0.122038 Batch=239, step=17040, lr=0.129000, batch loss=0.061344, epoch loss=0.183382 Batch=299, step=17100, lr=0.128750, batch loss=0.019660, epoch loss=0.203042 Batch=359, step=17160, lr=0.128500, batch loss=0.044171, epoch loss=0.247213 Batch=419, step=17220, lr=0.128250, batch loss=0.045935, epoch loss=0.293147 Batch=479, step=17280, lr=0.128000, batch loss=0.023081, epoch loss=0.316228 Batch=539, step=17340, lr=0.127750, batch loss=0.030915, epoch loss=0.347143 Batch=599, step=17400, lr=0.127500, batch loss=0.035320, epoch loss=0.382462 Batch=659, step=17460, lr=0.127250, batch loss=0.045470, epoch loss=0.427932 Batch=719, step=17520, lr=0.127000, batch loss=0.040415, epoch loss=0.468347 Batch=779, step=17580, lr=0.127000, batch loss=0.038778, epoch loss=0.507125 Batch=839, step=17640, lr=0.126500, batch loss=0.053119, epoch loss=0.560244 Batch=899, step=17700, lr=0.126500, batch loss=0.047100, epoch loss=0.607343 Batch=959, step=17760, lr=0.126250, batch loss=0.037309, epoch loss=0.644652 Batch=1019, step=17820, lr=0.126000, batch loss=0.105011, epoch loss=0.749663 Batch=1079, step=17880, lr=0.125500, batch loss=0.034770, epoch loss=0.784433 Batch=1139, step=17940, lr=0.125250, batch loss=0.071732, epoch loss=0.856165 Batch=1199, step=18000, lr=0.125250, batch loss=0.023882, epoch loss=0.880047 Epoch=14, step=18000, lr=0.125250, epoch loss=0.880047 Batch=59, step=18060, lr=0.125000, batch loss=0.013794, epoch loss=0.013794 Batch=119, step=18120, lr=0.124500, batch loss=0.029990, epoch loss=0.043784 Batch=179, step=18180, lr=0.124500, batch loss=0.074647, epoch loss=0.118431 Batch=239, step=18240, lr=0.124250, batch loss=0.038830, epoch loss=0.157260 Batch=299, step=18300, lr=0.124000, batch loss=0.014653, epoch loss=0.171913 Batch=359, step=18360, lr=0.123750, batch loss=0.045099, epoch loss=0.217012 Batch=419, step=18420, lr=0.123500, batch loss=0.032130, epoch loss=0.249142 Batch=479, step=18480, lr=0.123250, batch loss=0.013942, epoch loss=0.263084 Batch=539, step=18540, lr=0.123000, batch loss=0.021805, epoch loss=0.284889 Batch=599, step=18600, lr=0.122750, batch loss=0.028470, epoch loss=0.313359 Batch=659, step=18660, lr=0.122500, batch loss=0.028405, epoch loss=0.341764 Batch=719, step=18720, lr=0.122250, batch loss=0.032220, epoch loss=0.373984 Batch=779, step=18780, lr=0.121750, batch loss=0.082678, epoch loss=0.456662 Batch=839, step=18840, lr=0.121750, batch loss=0.049447, epoch loss=0.506109 Batch=899, step=18900, lr=0.121500, batch loss=0.051329, epoch loss=0.557438 Batch=959, step=18960, lr=0.121250, batch loss=0.013344, epoch loss=0.570783 Batch=1019, step=19020, lr=0.121000, batch loss=0.016634, epoch loss=0.587417 Batch=1079, step=19080, lr=0.120500, batch loss=0.011263, epoch loss=0.598680 Batch=1139, step=19140, lr=0.120250, batch loss=0.022720, epoch loss=0.621400 Batch=1199, step=19200, lr=0.120250, batch loss=0.009184, epoch loss=0.630584 Epoch=15, step=19200, lr=0.120250, epoch loss=0.630584 Batch=59, step=19260, lr=0.119750, batch loss=0.004337, epoch loss=0.004337 Batch=119, step=19320, lr=0.119500, batch loss=0.012115, epoch loss=0.016452 Batch=179, step=19380, lr=0.119250, batch loss=0.020289, epoch loss=0.036742 Batch=239, step=19440, lr=0.119000, batch loss=0.023630, epoch loss=0.060371 Batch=299, step=19500, lr=0.119000, batch loss=0.018337, epoch loss=0.078708 Batch=359, step=19560, lr=0.118500, batch loss=0.034398, epoch loss=0.113106 Batch=419, step=19620, lr=0.118250, batch loss=0.021654, epoch loss=0.134760 Batch=479, step=19680, lr=0.118000, batch loss=0.007785, epoch loss=0.142545 Batch=539, step=19740, lr=0.117750, batch loss=0.020450, epoch loss=0.162996 Batch=599, step=19800, lr=0.117500, batch loss=0.028366, epoch loss=0.191361 Batch=659, step=19860, lr=0.117500, batch loss=0.017596, epoch loss=0.208958 Batch=719, step=19920, lr=0.117000, batch loss=0.039983, epoch loss=0.248941 Batch=779, step=19980, lr=0.117000, batch loss=0.080230, epoch loss=0.329171 Batch=839, step=20040, lr=0.116750, batch loss=0.030695, epoch loss=0.359866 Batch=899, step=20100, lr=0.116500, batch loss=0.037962, epoch loss=0.397828 Batch=959, step=20160, lr=0.116250, batch loss=0.012476, epoch loss=0.410304 Batch=1019, step=20220, lr=0.116000, batch loss=0.017776, epoch loss=0.428080 Batch=1079, step=20280, lr=0.115500, batch loss=0.003753, epoch loss=0.431833 Batch=1139, step=20340, lr=0.115500, batch loss=0.017178, epoch loss=0.449011 Batch=1199, step=20400, lr=0.115250, batch loss=0.006858, epoch loss=0.455869 Epoch=16, step=20400, lr=0.115250, epoch loss=0.455869 Batch=59, step=20460, lr=0.115000, batch loss=0.003302, epoch loss=0.003302 Batch=119, step=20520, lr=0.114750, batch loss=0.011864, epoch loss=0.015166 Batch=179, step=20580, lr=0.114500, batch loss=0.024647, epoch loss=0.039813 Batch=239, step=20640, lr=0.114000, batch loss=0.017346, epoch loss=0.057159 Batch=299, step=20700, lr=0.114000, batch loss=0.005315, epoch loss=0.062474 Batch=359, step=20760, lr=0.113500, batch loss=0.013541, epoch loss=0.076015 Batch=419, step=20820, lr=0.113250, batch loss=0.016762, epoch loss=0.092777 Batch=479, step=20880, lr=0.113000, batch loss=0.004231, epoch loss=0.097008 Batch=539, step=20940, lr=0.112750, batch loss=0.015266, epoch loss=0.112273 Batch=599, step=21000, lr=0.112500, batch loss=0.019754, epoch loss=0.132027 Batch=659, step=21060, lr=0.112250, batch loss=0.015143, epoch loss=0.147170 Batch=719, step=21120, lr=0.112000, batch loss=0.042824, epoch loss=0.189993 Batch=779, step=21180, lr=0.111750, batch loss=0.075429, epoch loss=0.265422 Batch=839, step=21240, lr=0.111500, batch loss=0.027094, epoch loss=0.292516 Batch=899, step=21300, lr=0.111250, batch loss=0.034542, epoch loss=0.327059 Batch=959, step=21360, lr=0.111000, batch loss=0.009885, epoch loss=0.336943 Batch=1019, step=21420, lr=0.111000, batch loss=0.011530, epoch loss=0.348474 Batch=1079, step=21480, lr=0.110500, batch loss=0.000562, epoch loss=0.349035 Batch=1139, step=21540, lr=0.110250, batch loss=0.013221, epoch loss=0.362257 Batch=1199, step=21600, lr=0.110000, batch loss=0.005261, epoch loss=0.367518 Epoch=17, step=21600, lr=0.110000, epoch loss=0.367518 Batch=59, step=21660, lr=0.109750, batch loss=0.002220, epoch loss=0.002220 Batch=119, step=21720, lr=0.109500, batch loss=0.006380, epoch loss=0.008600 Batch=179, step=21780, lr=0.109250, batch loss=0.012774, epoch loss=0.021374 Batch=239, step=21840, lr=0.109000, batch loss=0.009806, epoch loss=0.031179 Batch=299, step=21900, lr=0.109000, batch loss=0.005028, epoch loss=0.036207 Batch=359, step=21960, lr=0.108750, batch loss=0.012957, epoch loss=0.049164 Batch=419, step=22020, lr=0.108250, batch loss=0.012732, epoch loss=0.061896 Batch=479, step=22080, lr=0.108000, batch loss=0.004571, epoch loss=0.066467 Batch=539, step=22140, lr=0.107750, batch loss=0.014548, epoch loss=0.081014 Batch=599, step=22200, lr=0.107500, batch loss=0.015595, epoch loss=0.096609 Batch=659, step=22260, lr=0.107250, batch loss=0.012741, epoch loss=0.109350 Batch=719, step=22320, lr=0.107000, batch loss=0.027502, epoch loss=0.136852 Batch=779, step=22380, lr=0.106750, batch loss=0.038707, epoch loss=0.175558 Batch=839, step=22440, lr=0.106500, batch loss=0.021376, epoch loss=0.196934 Batch=899, step=22500, lr=0.106500, batch loss=0.023955, epoch loss=0.220889 Batch=959, step=22560, lr=0.106000, batch loss=0.009523, epoch loss=0.230412 Batch=1019, step=22620, lr=0.105750, batch loss=0.010841, epoch loss=0.241253 Batch=1079, step=22680, lr=0.105500, batch loss=0.000203, epoch loss=0.241456 Batch=1139, step=22740, lr=0.105250, batch loss=0.009993, epoch loss=0.251448 Batch=1199, step=22800, lr=0.105000, batch loss=0.004622, epoch loss=0.256070 Epoch=18, step=22800, lr=0.105000, epoch loss=0.256070 Batch=59, step=22860, lr=0.104750, batch loss=0.001640, epoch loss=0.001640 Batch=119, step=22920, lr=0.104500, batch loss=0.005461, epoch loss=0.007101 Batch=179, step=22980, lr=0.104250, batch loss=0.010665, epoch loss=0.017766 Batch=239, step=23040, lr=0.104000, batch loss=0.008608, epoch loss=0.026374 Batch=299, step=23100, lr=0.103750, batch loss=0.007294, epoch loss=0.033668 Batch=359, step=23160, lr=0.103500, batch loss=0.011814, epoch loss=0.045481 Batch=419, step=23220, lr=0.103250, batch loss=0.010674, epoch loss=0.056155 Batch=479, step=23280, lr=0.103250, batch loss=0.002482, epoch loss=0.058637 Batch=539, step=23340, lr=0.102750, batch loss=0.017155, epoch loss=0.075792 Batch=599, step=23400, lr=0.102500, batch loss=0.014048, epoch loss=0.089841 Batch=659, step=23460, lr=0.102250, batch loss=0.010522, epoch loss=0.100363 Batch=719, step=23520, lr=0.102000, batch loss=0.014666, epoch loss=0.115029 Batch=779, step=23580, lr=0.101750, batch loss=0.022002, epoch loss=0.137031 Batch=839, step=23640, lr=0.101500, batch loss=0.024826, epoch loss=0.161857 Batch=899, step=23700, lr=0.101250, batch loss=0.023465, epoch loss=0.185322 Batch=959, step=23760, lr=0.101000, batch loss=0.008770, epoch loss=0.194093 Batch=1019, step=23820, lr=0.101000, batch loss=0.008163, epoch loss=0.202256 Batch=1079, step=23880, lr=0.100500, batch loss=0.000993, epoch loss=0.203249 Batch=1139, step=23940, lr=0.100250, batch loss=0.009224, epoch loss=0.212473 Batch=1199, step=24000, lr=0.100250, batch loss=0.005035, epoch loss=0.217508 Epoch=19, step=24000, lr=0.100250, epoch loss=0.217508 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########****************************************..│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########***********************...........%.│ │******######***********.........%........***************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######*************.............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:47.33 ---> saved as "611119bffbd228e134a7e2bab1e5a7e74de7c87243f12b263078753d78a8107b" Job succeeded 2025-03-21 12:47.34: Job succeeded